PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 10, 2026Journal of the American College of Cardiology139 citationsOpen Access

Proteomic Signatures of Heart Failure in Relation to Left Ventricular Ejection Fraction

LALuigi AdamoJYJinsheng YuCRCibele Rocha‐Resende

Key Result

High-content proteomics revealed that patients with HFrEF, HFmrEF, and HFpEF, as well as ischemic versus non-ischemic heart failure, have unique variations in circulating proteins.

Key Points

  • This research aims to identify proteomic signatures associated with heart failure and how they relate to left ventricular ejection fraction.
  • Analyzed proteomic data from heart failure patients
  • Compared ejection fraction metrics
  • Used statistical methods to identify significant biomarkers
  • Identified specific proteomic signatures linked to reduced ejection fraction
  • Demonstrated a correlation between certain biomarkers and heart failure severity
  • Found significant differential expression of proteins in relation to ejection fraction levels

Study Design

Type

Observational

Structured PICO

P
Population
Age and sex-matched patients with heart failure from a registry, categorized by LVEF into HFrEF, HFmrEF, and HFpEF.
O
Outcome
Unique proteomic signatures and biological themessurrogate

High-content multiplexed proteomics reveals distinct molecular signatures across heart failure LVEF categories and etiologies, suggesting potential for more precise clinical phenotyping beyond LVEF alone.

Abstract

Background: There is a growing recognition of the inherent limitations of the use of the left ventricular ejection fraction (LVEF) to accurately phenotype patients with heart failure (HF). Objectives: To identify unique proteomic signatures for patients with HFrEF, HFmrEF and HFpEF, as well as to identify molecular differences between ischemic and non-ischemic HF patients. Methods: We used high content aptamer-based proteomics technology (SOMAscan) to interrogate the blood proteome of age and gender matched HF patients within different LVEF groups. Results: Within the Washington University Heart Failure registry, we identified age/sex matched patients within three LVEF categories: HFrEF (LVEF 50%]). We found that patients with HFrEF, HFmrEF, and HFpEF had unique variations in circulating proteins which reflected distinct biological pathophysiologies. Bioinformatics analysis revealed that there were biological themes that were unique to HFrEF, HFpEF and HFmrEF patients. Comparative analyses of patients with HFmrEF with improved LVEF and patients with HFmrEF with unchanged LVEF revealed marked differences between these two patient populations and indicated that patients with recovered LVEF are more similar to patients with HFpEF than to patients with HFrEF. Moreover, there were marked difference in the proteomic signatures of patients with ischemic and non-ischemic HF. Conclusions: Viewed together these findings suggest that it may be possible to use high-content multiplexed proteomics assays in combination with the clinical assessment of LVEF to more accurately identify clinical phenotypes of HF patients.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Adamo et al. (2020) conducted an observational in Heart Failure. Heart failure LVEF categories (HFrEF, HFmrEF, HFpEF) vs. Between LVEF categories was evaluated on Unique variations in circulating proteins (proteomic signatures). High-content proteomics revealed that patients with HFrEF, HFmrEF, and HFpEF, as well as ischemic versus non-ischemic heart failure, have unique variations in circulating proteins.

synapsesocial.com/papers/6a29d4c8c0472106186ba12bhttps://doi.org/10.1016/j.jacc.2020.08.061
Ask AI
Helpful
Bookmark
Share
View Full Paper